PSI is trying to make a business out of AI-driven scientific discovery
PSI used an unreleased Anthropic model to answer a fundamental question about quantum computing that scientists have pursued for nearly two decades.
David Turturean, a recent MIT graduate and member of the technical staff at AI startup Physical Superintelligence (PSI), used early access to Anthropic’s Fable 5.2 model to solve an 18-year-old quantum computing problem. The Aaronson-Ambainis conjecture, which concerns quantum computers solving problems faster than classical ones, was solved by PSI, leading to a negative result that narrows down potential solutions.
PSI CEO Matt Pines believes that a successful research system should have various tools, harnesses, and memory systems to tackle problems at breadth and depth. The company's revenue currently comes from optimizing data centers, but the long-term goal is to convert theoretical physics breakthroughs into actual technologies. However, applying AI to less abstracted disciplines like life sciences or physics remains challenging.
PSI is focused on understanding how to validate computational results through experiments efficiently. Translating AI-elicited solutions into comprehensible formats for human researchers is also crucial for the scientific community. As standards for this new "neolabs for science" evolve, PSI is figuring out how to balance transparency and expert collaboration.
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